AI Risk Management: Process, Frameworks, and 5 Mitigation Methods

This article explains AI risk management fundamentals—identification, assessment, and mitigation—covering frameworks (NIST AI RMF, ISO/IEC standards, EU AI Act), technical controls (data validation, explainability, red teaming, bias audits, secure deployment), and governance best practices (cross‑functional oversight, data management, continuous testing). It emphasizes proactive security and compliance, and highlights Mend.io’s AI red‑teaming service for adversarial testing and model resilience.